Title |
Whom should we sense in “social sensing” - analyzing which users work best for social media now-casting
|
---|---|
Published in |
EPJ Data Science, November 2015
|
DOI | 10.1140/epjds/s13688-015-0058-9 |
Authors |
Jisun An, Ingmar Weber |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 25% |
Italy | 3 | 13% |
Spain | 2 | 8% |
Ireland | 1 | 4% |
Luxembourg | 1 | 4% |
Turkey | 1 | 4% |
Korea, Republic of | 1 | 4% |
Unknown | 9 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 58% |
Scientists | 9 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | 2% |
United States | 1 | 2% |
Unknown | 39 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 27% |
Student > Master | 8 | 20% |
Researcher | 4 | 10% |
Student > Postgraduate | 3 | 7% |
Student > Bachelor | 2 | 5% |
Other | 4 | 10% |
Unknown | 9 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 22% |
Social Sciences | 4 | 10% |
Environmental Science | 3 | 7% |
Business, Management and Accounting | 3 | 7% |
Economics, Econometrics and Finance | 3 | 7% |
Other | 8 | 20% |
Unknown | 11 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 December 2015.
All research outputs
#1,973,715
of 22,714,025 outputs
Outputs from EPJ Data Science
#182
of 375 outputs
Outputs of similar age
#35,606
of 387,079 outputs
Outputs of similar age from EPJ Data Science
#5
of 10 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.2. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 387,079 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.